\documentclass[a4paper, 12pt]{article}

\usepackage{graphicx}
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\begin{document}
\begin{center}
\LARGE{\bf BAYESREG OBJECT b: regression procedure}
\end{center} 
\vspace{1cm}

\noindent {\bf \large Response:}
\begin{tabbing}
Number of observations: \= 7808\\
Response Variable: \> prolabor\\
Family: \> Binomial (probit link)\\
\end{tabbing}

\noindent {\bf \large Predictor:}\\


\begin{tabular}{ccp{12cm}}
$\eta$ & $=$ & $\gamma_{const}const + \gamma_{dem}dem + \gamma_{laborcomm}laborcomm + f_{district}(district) + f_{district}(district) \cdot unionpop + f_{district}(district) \cdot unionpop + f_{district}(district) \cdot unionpop$
\end{tabular}
\\ 
\\

\noindent {\bf \large Priors:}\\
\\
Fixed effects:\\
diffuse priors\\
\\\\
$f_{district}(district)$\\
Markov random field\\
Inverse gamma prior for variance component with hyperparameters a=0.001 and b=0.001\\
\\\\
$f_{district}(district) \cdot unionpop$\\
Markov random field\\
Inverse gamma prior for variance component with hyperparameters a=0.001 and b=0.001\\
\\\\
$f_{district}(district) \cdot unionpop$\\
Markov random field\\
Inverse gamma prior for variance component with hyperparameters a=0.001 and b=0.001\\
\\\\
$f_{district}(district) \cdot unionpop$\\
Markov random field\\
Inverse gamma prior for variance component with hyperparameters a=0.001 and b=0.001\\
\\\\

\noindent {\bf \large MCMC Options:}
\begin{tabbing}
Levels for credible intervals: \= \\
Level 1: \> 95\\
Level 2: \> 80\\
Number of Iterations: \> 250000\\
Burn in: \> 2000\\
Thinning Parameter: \> 10
\end{tabbing}
\vspace{0.5cm}

 {\bf \large Estimation results for the deviance: }\\ 

{\bf Deviance } 

\vspace{-0.4cm}
\begin{tabbing}
\hspace{3cm} \= \\
  Mean:           \> 8547.3773 \\
  Std. Dev:       \> 14.00495 \\
  2.5\% Quantile:  \> 8521.1383 \\
  10\% Quantile:  \> 8529.7602 \\
  50\% Quantile:  \> 8546.9685 \\
  90\% Quantile:  \> 8565.5694 \\
  97.5\% Quantile:  \> 8576.0061 \\
\end{tabbing}


 {\bf \large Estimation results for the DIC: }\\ 

\begin{tabbing}
\hspace{3cm} \= \\
deviance \> 8490.3383 \\
pD  \> 57.039065 \\
DIC  \> 8604.4164 \\
\end{tabbing}


\newpage 


\noindent {\bf \large Fixed Effects:}\\
\\
\begin{tabular}{|r|rrrrr|}
\hline
Variable & Mean & STD & 2.5\%-Quant. & Median & 97.5\%-Quant.\\
\hline
const & -0.397044 & 0.122302 & -0.635077 & -0.398644 & -0.152774\\
dem & 1.48153 & 0.0405356 & 1.40285 & 1.48162 & 1.56069\\
laborcomm & 0.565083 & 0.0445238 & 0.477686 & 0.564898 & 0.652437\\
\hline 
\end{tabular}

\newpage
\noindent {\bf \large Plots:}

\begin{figure}[h!]
\centering
\includegraphics[scale=0.6]{/var/folders/p1/0_bpjw1104jdbqfjqfzsxt980000gn/T//RtmpbRejU4/bayesx/bayesx.estim_f_district_spatial_pmean}
\caption{Non--linear Effect of 'district'. Shown are the posterior means.}
\end{figure}

\begin{figure}[htb]
\centering
\includegraphics[scale=0.6]{/var/folders/p1/0_bpjw1104jdbqfjqfzsxt980000gn/T//RtmpbRejU4/bayesx/bayesx.estim_f_district_spatial_pcat95}
\caption{Non--linear Effect of 'district'. Posterior probabilities for a nominal level of 95\%.
Black denotes regions with strictly negative credible intervals,
white denotes regions with strictly positive credible intervals.}
\end{figure}

\begin{figure}[htb]
\centering
\includegraphics[scale=0.6]{/var/folders/p1/0_bpjw1104jdbqfjqfzsxt980000gn/T//RtmpbRejU4/bayesx/bayesx.estim_f_district_spatial_pcat80}
\caption{Non--linear Effect of 'district'. Posterior probabilities for a nominal level of 80\%.
Black denotes regions with strictly negative credible intervals,
white denotes regions with strictly positive credible intervals.}
\end{figure}

\begin{figure}[h!]
\centering
\includegraphics[scale=0.6]{/var/folders/p1/0_bpjw1104jdbqfjqfzsxt980000gn/T//RtmpbRejU4/bayesx/bayesx.estim_unionpop_f_district_spatial_pmean}
\caption{Non--linear Effect of 'district'. Shown are the posterior means.}
\end{figure}

\begin{figure}[htb]
\centering
\includegraphics[scale=0.6]{/var/folders/p1/0_bpjw1104jdbqfjqfzsxt980000gn/T//RtmpbRejU4/bayesx/bayesx.estim_unionpop_f_district_spatial_pcat95}
\caption{Non--linear Effect of 'district'. Posterior probabilities for a nominal level of 95\%.
Black denotes regions with strictly negative credible intervals,
white denotes regions with strictly positive credible intervals.}
\end{figure}

\begin{figure}[htb]
\centering
\includegraphics[scale=0.6]{/var/folders/p1/0_bpjw1104jdbqfjqfzsxt980000gn/T//RtmpbRejU4/bayesx/bayesx.estim_unionpop_f_district_spatial_pcat80}
\caption{Non--linear Effect of 'district'. Posterior probabilities for a nominal level of 80\%.
Black denotes regions with strictly negative credible intervals,
white denotes regions with strictly positive credible intervals.}
\end{figure}

\begin{figure}[h!]
\centering
\includegraphics[scale=0.6]{/var/folders/p1/0_bpjw1104jdbqfjqfzsxt980000gn/T//RtmpbRejU4/bayesx/bayesx.estim_aapct_f_district_spatial_pmean}
\caption{Non--linear Effect of 'district'. Shown are the posterior means.}
\end{figure}

\begin{figure}[htb]
\centering
\includegraphics[scale=0.6]{/var/folders/p1/0_bpjw1104jdbqfjqfzsxt980000gn/T//RtmpbRejU4/bayesx/bayesx.estim_aapct_f_district_spatial_pcat95}
\caption{Non--linear Effect of 'district'. Posterior probabilities for a nominal level of 95\%.
Black denotes regions with strictly negative credible intervals,
white denotes regions with strictly positive credible intervals.}
\end{figure}

\begin{figure}[htb]
\centering
\includegraphics[scale=0.6]{/var/folders/p1/0_bpjw1104jdbqfjqfzsxt980000gn/T//RtmpbRejU4/bayesx/bayesx.estim_aapct_f_district_spatial_pcat80}
\caption{Non--linear Effect of 'district'. Posterior probabilities for a nominal level of 80\%.
Black denotes regions with strictly negative credible intervals,
white denotes regions with strictly positive credible intervals.}
\end{figure}

\begin{figure}[h!]
\centering
\includegraphics[scale=0.6]{/var/folders/p1/0_bpjw1104jdbqfjqfzsxt980000gn/T//RtmpbRejU4/bayesx/bayesx.estim_urbanpct_f_district_spatial_pmean}
\caption{Non--linear Effect of 'district'. Shown are the posterior means.}
\end{figure}

\begin{figure}[htb]
\centering
\includegraphics[scale=0.6]{/var/folders/p1/0_bpjw1104jdbqfjqfzsxt980000gn/T//RtmpbRejU4/bayesx/bayesx.estim_urbanpct_f_district_spatial_pcat95}
\caption{Non--linear Effect of 'district'. Posterior probabilities for a nominal level of 95\%.
Black denotes regions with strictly negative credible intervals,
white denotes regions with strictly positive credible intervals.}
\end{figure}

\begin{figure}[htb]
\centering
\includegraphics[scale=0.6]{/var/folders/p1/0_bpjw1104jdbqfjqfzsxt980000gn/T//RtmpbRejU4/bayesx/bayesx.estim_urbanpct_f_district_spatial_pcat80}
\caption{Non--linear Effect of 'district'. Posterior probabilities for a nominal level of 80\%.
Black denotes regions with strictly negative credible intervals,
white denotes regions with strictly positive credible intervals.}
\end{figure}
\end{document}
